ABSTRACT
Introduction: The CoLab-score was originally developed and validated to rule out COVID-19 in suspected patients presenting in the emergency department [1, 2]. The CoLab-score includes the patient's age and ten blood parameters, reflecting the host response to SARSCoV-2 infection. Here, we investigated the CoLab-score over time in mechanically ventilated COVID-19 patients at the ICU. We hypothesized that the CoLab-score will decrease over time, independent of survival, disease severity and pandemic periods. This would create the opportunity to monitor COVID-19 patients and potentially ruling out the need for isolation when the host response decreases and the infection is overcome. Method(s): We used serial data of the Maastricht Intensive Care Covid (MaastrICCht) cohort of mechanically ventilated COVID-19 patients to investigate the association between time and daily CoLab-score using linear-mixed models. Crude models were adjusted for sex, APACHE II score, SOFA score, and stratified for intensive care mortality. Result(s): 324 patients (73% men), aged 64 +/- 12 years with 5959 daily CoLab-scores, were included. CoLab-score decreased with 0.31 points per day (95% CI -0.33 to -0.28). Adjustment for sex, APACHE II and stratification for mortality did not change this result. Conclusion(s): The CoLab-score decreased over time in mechanically ventilated ICU COVID-19 patients, with a point reduction per three days. This suggests that the CoLab-score eventually decreases to a normal state, reflecting a host response that has overcome infection. Future investigation is warranted to assess whether the need for isolation can be ruled out based on the CoLab-score.
ABSTRACT
Target: The period following a discharge from hospitalization due to Covid-19 may be complicated. We investigated how many Covid-19 patients are readmitted or still die after being discharged from hospital and which patient characteristics are related to readmission or death. Setup: Retrospective, descriptive research. Method: This study included all patients who were admitted to the Zuyderland Medical Center in the period 1 March-1 June 2020 due to covid-19. The primary outcome measures were mortality and readmission. Univariate and multivariate regression analyzes were performed to identify risk factors for death and readmission.
ABSTRACT
OBJECTIVE: Hospitalization for corona virus disease 2019 (COVID-19) may be followed by complications after discharge. We aimed to evaluate mortality, readmission rate, and readmission characteristics after hospitalization with COVID-19. DESIGN: A retrospective cohort study METHODS: Inclusion of all patients hospitalized for COVID-19 between March 1, 2020, and June 1, 2020 in Zuyderland Medical Centre, The Netherlands. Main outcome measures were mortality and readmission after hospitalization. Univariate and multivariate regression analysis were performed to identify risk factors for death and readmission. RESULTS: A total of 769 patients hospitalized with COVID-19 (mean age 70 ± 14 years;39% female) were included in the study. In-hospital mortality was 22.4% , as such 596 patients were discharged alive and followed after discharge with a median of 80 days (IQR 66-91). Total mortality after discharge was 6.4% (n=38) and readmission rate was 11.7% (n=70). Main reasons for readmission were respiratory insufficiency (31%), arterial and venous thrombotic events (16%) or related to a chronic comorbidity (14%). Mortality rates were higher in older patients and patients who experienced delirium during hospital stay. Risk factors for readmission were male sex, discharge to a long-term care facility and COPD. CONCLUSION: 1 out of 6 COVID-19 positive patients died or was readmitted after discharge. This shows an ongoing vulnerability of COVID-19 patients. Physicians and policy makers should consider this high rate when making decisions on discharge, hospital-capacity planning, and patient monitoring after discharge.